{
 "cells": [
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:30:33.423713Z",
     "start_time": "2025-05-29T06:30:32.886254Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import matplotlib\n",
    "import os\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score, classification_report, confusion_matrix\n",
    "from sklearn.decomposition import PCA\n",
    "# 设置 Matplotlib 使用支持中文的字体\n",
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']  # 用于显示中文标签\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False  # 用于正常显示负号"
   ],
   "id": "9f29fc9c1e772c44",
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:30:45.651385Z",
     "start_time": "2025-05-29T06:30:45.647003Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def load_dataset(base_path):\n",
    "    \"\"\"加载指定路径下的pos/neg文本数据\"\"\"\n",
    "    texts = []\n",
    "    labels = []\n",
    "    \n",
    "    for label in ['pos', 'neg']:\n",
    "        label_dir = os.path.join(base_path, label)\n",
    "        print(f\"正在扫描目录: {os.path.abspath(label_dir)}\")  # 显示绝对路径\n",
    "        \n",
    "        if not os.path.exists(label_dir):\n",
    "            raise FileNotFoundError(f\"关键目录缺失: {label_dir}\")\n",
    "            \n",
    "        # 遍历所有txt文件\n",
    "        for file in os.listdir(label_dir):\n",
    "            if file.endswith('.txt'):\n",
    "                file_path = os.path.join(label_dir, file)\n",
    "                try:\n",
    "                    with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:\n",
    "                        texts.append(f.read())\n",
    "                        labels.append(1 if label == 'pos' else 0)\n",
    "                except Exception as e:\n",
    "                    print(f\"文件读取失败: {file_path} - {str(e)}\")\n",
    "    \n",
    "    return texts, labels"
   ],
   "id": "629d49704b324084",
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:30:48.598724Z",
     "start_time": "2025-05-29T06:30:48.595200Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 路径配置（自动适配不同操作系统）\n",
    "root_dir = os.path.abspath('D:/Program Files/JetBrains/PyCharm 2024.2.1/mytest/pangchenchen/Movie/aclImdb')  # 数据集根目录\n",
    "train_dir = os.path.join(root_dir, 'train')\n",
    "test_dir = os.path.join(root_dir, 'test')"
   ],
   "id": "beffa5011d7c73d2",
   "outputs": [],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:30:55.488645Z",
     "start_time": "2025-05-29T06:30:55.484333Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 预检查路径\n",
    "for path in [root_dir, train_dir, test_dir]:\n",
    "    if not os.path.exists(path):\n",
    "        raise FileNotFoundError(f\"关键路径缺失: {path}\")"
   ],
   "id": "3e65253760e095ad",
   "outputs": [],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:12.690729Z",
     "start_time": "2025-05-29T06:31:00.886339Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 加载数据\n",
    "print(\"\\n正在加载训练集...\")\n",
    "train_texts, train_labels = load_dataset(train_dir)\n",
    "print(f\"训练集加载完成: {len(train_texts)} 条样本\")\n",
    "\n",
    "print(\"\\n正在加载测试集...\")\n",
    "test_texts, test_labels = load_dataset(test_dir)\n",
    "print(f\"测试集加载完成: {len(test_texts)} 条样本\")"
   ],
   "id": "5dfcedd3d11bf8c4",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "正在加载训练集...\n",
      "正在扫描目录: D:\\Program Files\\JetBrains\\PyCharm 2024.2.1\\mytest\\pangchenchen\\Movie\\aclImdb\\train\\pos\n",
      "正在扫描目录: D:\\Program Files\\JetBrains\\PyCharm 2024.2.1\\mytest\\pangchenchen\\Movie\\aclImdb\\train\\neg\n",
      "训练集加载完成: 25000 条样本\n",
      "\n",
      "正在加载测试集...\n",
      "正在扫描目录: D:\\Program Files\\JetBrains\\PyCharm 2024.2.1\\mytest\\pangchenchen\\Movie\\aclImdb\\test\\pos\n",
      "正在扫描目录: D:\\Program Files\\JetBrains\\PyCharm 2024.2.1\\mytest\\pangchenchen\\Movie\\aclImdb\\test\\neg\n",
      "测试集加载完成: 25000 条样本\n"
     ]
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:31.003289Z",
     "start_time": "2025-05-29T06:31:16.205676Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# TF-IDF特征提取\n",
    "print(\"\\n正在提取文本特征...\")\n",
    "vectorizer = TfidfVectorizer(\n",
    "    max_features=10000,\n",
    "    ngram_range=(1, 2),\n",
    "    stop_words='english'\n",
    ")\n",
    "X_train = vectorizer.fit_transform(train_texts)\n",
    "X_test = vectorizer.transform(test_texts)"
   ],
   "id": "7971282951c7e325",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "正在提取文本特征...\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:39.055134Z",
     "start_time": "2025-05-29T06:31:33.318841Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 数据主成分分析（PCA）\n",
    "print(\"\\n进行主成分分析...\")\n",
    "pca = PCA(n_components=2)  # 降维到2维以便可视化\n",
    "X_train_pca = pca.fit_transform(X_train.toarray())\n",
    "X_test_pca = pca.transform(X_test.toarray())"
   ],
   "id": "2bc5763b6fd2e88",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行主成分分析...\n"
     ]
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:41.500364Z",
     "start_time": "2025-05-29T06:31:40.743036Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化主成分分析结果\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(X_train_pca[:, 0], X_train_pca[:, 1], c=train_labels, cmap='coolwarm', alpha=0.5)\n",
    "plt.title('PCA of Training Data')\n",
    "plt.xlabel('Principal Component 1')\n",
    "plt.ylabel('Principal Component 2')\n",
    "plt.colorbar(label='Label')\n",
    "plt.show()"
   ],
   "id": "a16399fa35c4171d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:43.913324Z",
     "start_time": "2025-05-29T06:31:43.909715Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 用于存储模型评估结果\n",
    "results = {\n",
    "    'Model': [],\n",
    "    'Precision': [],\n",
    "    'Recall': [],\n",
    "    'F1-Score': [],\n",
    "    'Accuracy': [],\n",
    "    'Training Time': []\n",
    "}"
   ],
   "id": "4f6e008e65f18f00",
   "outputs": [],
   "execution_count": 9
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:49.703423Z",
     "start_time": "2025-05-29T06:31:46.453237Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Logistic Regression 模型训练\n",
    "print(\"\\n=== Logistic Regression ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "model = LogisticRegression(max_iter=1000, n_jobs=-1, class_weight='balanced')\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "f98dab8aaec20cb",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Logistic Regression ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:51.277235Z",
     "start_time": "2025-05-29T06:31:51.266701Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "362ec65df7ea7e9d",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:53.603116Z",
     "start_time": "2025-05-29T06:31:53.570399Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "ed60598b72df1aa8",
   "outputs": [],
   "execution_count": 12
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:55.852429Z",
     "start_time": "2025-05-29T06:31:55.849446Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('Logistic Regression')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "8df1c9771e26f36c",
   "outputs": [],
   "execution_count": 13
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:31:58.236250Z",
     "start_time": "2025-05-29T06:31:58.232068Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "74719436fefd5dd5",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.8802\n",
      "召回率 (Recall):    0.8850\n",
      "F1值 (F1-Score):   0.8826\n",
      "准确率 (Accuracy): 0.8822\n",
      "训练耗时:          3.25秒\n"
     ]
    }
   ],
   "execution_count": 14
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:32:01.366773Z",
     "start_time": "2025-05-29T06:32:01.350009Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "29629349a044db39",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.88      0.88      0.88     12500\n",
      "         pos       0.88      0.88      0.88     12500\n",
      "\n",
      "    accuracy                           0.88     25000\n",
      "   macro avg       0.88      0.88      0.88     25000\n",
      "weighted avg       0.88      0.88      0.88     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 15
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:32:04.179016Z",
     "start_time": "2025-05-29T06:32:04.093159Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - Logistic Regression')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "c58a456b8dbad770",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 16
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:38:55.206236Z",
     "start_time": "2025-05-29T06:32:07.781870Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# LDA 模型训练\n",
    "print(\"\\n=== LDA ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "model = LinearDiscriminantAnalysis()\n",
    "model.fit(X_train.toarray(), train_labels)  # LDA需要将稀疏矩阵转换为密集矩阵\n",
    "training_time = time.time() - start_time"
   ],
   "id": "95156cb291b240ee",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== LDA ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 17
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:29.859322Z",
     "start_time": "2025-05-29T06:40:28.463227Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test.toarray())  # LDA需要将稀疏矩阵转换为密集矩阵"
   ],
   "id": "fd2a33ec0d5c81b9",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 18
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:31.502476Z",
     "start_time": "2025-05-29T06:40:31.457063Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "23328b6347dd8fee",
   "outputs": [],
   "execution_count": 19
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:33.586461Z",
     "start_time": "2025-05-29T06:40:33.577123Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('LDA')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "b62d6c535cae86ca",
   "outputs": [],
   "execution_count": 20
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:35.637752Z",
     "start_time": "2025-05-29T06:40:35.631132Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "627724e5ed09157b",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.8134\n",
      "召回率 (Recall):    0.7872\n",
      "F1值 (F1-Score):   0.8001\n",
      "准确率 (Accuracy): 0.8033\n",
      "训练耗时:          407.40秒\n"
     ]
    }
   ],
   "execution_count": 21
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:38.182666Z",
     "start_time": "2025-05-29T06:40:38.163317Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "91dc427b769ed673",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.79      0.82      0.81     12500\n",
      "         pos       0.81      0.79      0.80     12500\n",
      "\n",
      "    accuracy                           0.80     25000\n",
      "   macro avg       0.80      0.80      0.80     25000\n",
      "weighted avg       0.80      0.80      0.80     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 22
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:40:41.503060Z",
     "start_time": "2025-05-29T06:40:40.818076Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - LDA')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "163f582f44d3ac5f",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 23
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:46:23.594595Z",
     "start_time": "2025-05-29T06:40:44.208071Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# SVM 模型训练\n",
    "print(\"\\n=== SVM ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "model = SVC(kernel='linear', class_weight='balanced')\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "6b96f29a5a1a9556",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== SVM ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 24
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:24.774215Z",
     "start_time": "2025-05-29T06:46:27.259199Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "f971806eaba6416d",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 25
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:29.238851Z",
     "start_time": "2025-05-29T06:49:29.199750Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "17764b44def01e75",
   "outputs": [],
   "execution_count": 26
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:33.481208Z",
     "start_time": "2025-05-29T06:49:33.477245Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('SVM')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "3155408fd599cf0e",
   "outputs": [],
   "execution_count": 27
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:35.162315Z",
     "start_time": "2025-05-29T06:49:35.157493Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "67e0ff8a75df6b4f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.8784\n",
      "召回率 (Recall):    0.8692\n",
      "F1值 (F1-Score):   0.8738\n",
      "准确率 (Accuracy): 0.8744\n",
      "训练耗时:          339.38秒\n"
     ]
    }
   ],
   "execution_count": 28
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:38.816829Z",
     "start_time": "2025-05-29T06:49:38.802361Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "fc7a505f4d3cd85c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.87      0.88      0.88     12500\n",
      "         pos       0.88      0.87      0.87     12500\n",
      "\n",
      "    accuracy                           0.87     25000\n",
      "   macro avg       0.87      0.87      0.87     25000\n",
      "weighted avg       0.87      0.87      0.87     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 29
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:49:57.751202Z",
     "start_time": "2025-05-29T06:49:57.676733Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - SVM')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "8b070e4cbd6c0be7",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 30
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:50:13.413667Z",
     "start_time": "2025-05-29T06:50:13.390904Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 朴素贝叶斯模型训练\n",
    "print(\"\\n=== Naive Bayes ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "model = MultinomialNB()\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "1b2607f0dd0449ab",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Naive Bayes ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 31
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:50:16.313811Z",
     "start_time": "2025-05-29T06:50:16.299830Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "a203cd238168da80",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 32
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:50:18.486181Z",
     "start_time": "2025-05-29T06:50:18.452664Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "18571ab71595d15b",
   "outputs": [],
   "execution_count": 33
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:50:20.360982Z",
     "start_time": "2025-05-29T06:50:20.356517Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('Naive Bayes')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "6e719ffceb83f31c",
   "outputs": [],
   "execution_count": 34
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:50:22.079476Z",
     "start_time": "2025-05-29T06:50:22.075870Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "26f574ce82b88374",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.8570\n",
      "召回率 (Recall):    0.8370\n",
      "F1值 (F1-Score):   0.8469\n",
      "准确率 (Accuracy): 0.8487\n",
      "训练耗时:          0.02秒\n"
     ]
    }
   ],
   "execution_count": 35
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:51:02.332990Z",
     "start_time": "2025-05-29T06:51:02.303135Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "daa1ffac4e175cb8",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.84      0.86      0.85     12500\n",
      "         pos       0.86      0.84      0.85     12500\n",
      "\n",
      "    accuracy                           0.85     25000\n",
      "   macro avg       0.85      0.85      0.85     25000\n",
      "weighted avg       0.85      0.85      0.85     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 36
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:51:04.558136Z",
     "start_time": "2025-05-29T06:51:04.478994Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - Naive Bayes')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "6f2880d4a6eac0c3",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 37
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:51:34.016343Z",
     "start_time": "2025-05-29T06:51:06.822802Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 决策树模型训练\n",
    "print(\"\\n=== Decision Tree ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "model = DecisionTreeClassifier(class_weight='balanced')\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "97cd9c22502b9c3b",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Decision Tree ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 38
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:52:41.597101Z",
     "start_time": "2025-05-29T06:52:41.575675Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "e0b451fae160fb83",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 39
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:52:43.953731Z",
     "start_time": "2025-05-29T06:52:43.921888Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "1fd166866cf7ae1f",
   "outputs": [],
   "execution_count": 40
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:52:50.679063Z",
     "start_time": "2025-05-29T06:52:50.675730Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('Decision Tree')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "88bc969adafa8961",
   "outputs": [],
   "execution_count": 41
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:52:53.971312Z",
     "start_time": "2025-05-29T06:52:53.966956Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "d83dc12ecf363fe8",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.7201\n",
      "召回率 (Recall):    0.7054\n",
      "F1值 (F1-Score):   0.7127\n",
      "准确率 (Accuracy): 0.7156\n",
      "训练耗时:          27.19秒\n"
     ]
    }
   ],
   "execution_count": 42
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:53:49.835344Z",
     "start_time": "2025-05-29T06:53:49.819699Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "5b5eddfd40eeb7ad",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.71      0.73      0.72     12500\n",
      "         pos       0.72      0.71      0.71     12500\n",
      "\n",
      "    accuracy                           0.72     25000\n",
      "   macro avg       0.72      0.72      0.72     25000\n",
      "weighted avg       0.72      0.72      0.72     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 43
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:53:52.377335Z",
     "start_time": "2025-05-29T06:53:52.283889Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - Decision Tree')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "b8e6207982830a07",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 44
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:54:02.897861Z",
     "start_time": "2025-05-29T06:53:55.093704Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 随机森林模型训练\n",
    "print(\"\\n=== Random Forest ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "model = RandomForestClassifier(class_weight='balanced', n_jobs=-1)\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "2ec9c789eb042f73",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== Random Forest ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 45
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:54:44.886352Z",
     "start_time": "2025-05-29T06:54:44.687226Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "8045b8ba31c7b9c2",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 46
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:54:46.778997Z",
     "start_time": "2025-05-29T06:54:46.745733Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "676fe9e33471644a",
   "outputs": [],
   "execution_count": 47
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:54:48.507328Z",
     "start_time": "2025-05-29T06:54:48.503451Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('Random Forest')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "324f1bfd81b72cd9",
   "outputs": [],
   "execution_count": 48
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:54:50.154390Z",
     "start_time": "2025-05-29T06:54:50.149982Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "a31f285ebd34bdaf",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.8556\n",
      "召回率 (Recall):    0.8324\n",
      "F1值 (F1-Score):   0.8438\n",
      "准确率 (Accuracy): 0.8460\n",
      "训练耗时:          7.80秒\n"
     ]
    }
   ],
   "execution_count": 49
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:23.148423Z",
     "start_time": "2025-05-29T06:55:23.131912Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "211aad3e37d52e2c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.84      0.86      0.85     12500\n",
      "         pos       0.86      0.83      0.84     12500\n",
      "\n",
      "    accuracy                           0.85     25000\n",
      "   macro avg       0.85      0.85      0.85     25000\n",
      "weighted avg       0.85      0.85      0.85     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 50
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:25.479318Z",
     "start_time": "2025-05-29T06:55:25.386395Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - Random Forest')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "83bd04d7b5ce8c10",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 51
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:28.052714Z",
     "start_time": "2025-05-29T06:55:28.024004Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# K近邻模型训练\n",
    "print(\"\\n=== K-Nearest Neighbors ===\\n\")\n",
    "print(\"开始模型训练...\")\n",
    "start_time = time.time()\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "model = KNeighborsClassifier(n_jobs=-1)\n",
    "model.fit(X_train, train_labels)\n",
    "training_time = time.time() - start_time"
   ],
   "id": "5cfa2ca46272e43f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== K-Nearest Neighbors ===\n",
      "\n",
      "开始模型训练...\n"
     ]
    }
   ],
   "execution_count": 52
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:43.591053Z",
     "start_time": "2025-05-29T06:55:29.910519Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 模型评估\n",
    "print(\"\\n进行模型评估...\")\n",
    "y_pred = model.predict(X_test)"
   ],
   "id": "d930ade32fdfc81a",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "进行模型评估...\n"
     ]
    }
   ],
   "execution_count": 53
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:45.618896Z",
     "start_time": "2025-05-29T06:55:45.577494Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 计算指标\n",
    "precision = precision_score(test_labels, y_pred)\n",
    "recall = recall_score(test_labels, y_pred)\n",
    "f1 = f1_score(test_labels, y_pred)\n",
    "accuracy = accuracy_score(test_labels, y_pred)\n",
    "cm = confusion_matrix(test_labels, y_pred)"
   ],
   "id": "d0c9d56645f53cbb",
   "outputs": [],
   "execution_count": 54
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:50.116452Z",
     "start_time": "2025-05-29T06:55:50.113069Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 保存结果\n",
    "results['Model'].append('K-Nearest Neighbors')\n",
    "results['Precision'].append(precision)\n",
    "results['Recall'].append(recall)\n",
    "results['F1-Score'].append(f1)\n",
    "results['Accuracy'].append(accuracy)\n",
    "results['Training Time'].append(training_time)"
   ],
   "id": "8fa9d5e517b871fb",
   "outputs": [],
   "execution_count": 55
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T06:55:52.079236Z",
     "start_time": "2025-05-29T06:55:52.075090Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出指标\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'模型性能指标':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(f\"精确率 (Precision): {precision:.4f}\")\n",
    "print(f\"召回率 (Recall):    {recall:.4f}\")\n",
    "print(f\"F1值 (F1-Score):   {f1:.4f}\")\n",
    "print(f\"准确率 (Accuracy): {accuracy:.4f}\")\n",
    "print(f\"训练耗时:          {training_time:.2f}秒\")"
   ],
   "id": "55ad8cd3f200de19",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 模型性能指标                 \n",
      "========================================\n",
      "精确率 (Precision): 0.6723\n",
      "召回率 (Recall):    0.5790\n",
      "F1值 (F1-Score):   0.6221\n",
      "准确率 (Accuracy): 0.6484\n",
      "训练耗时:          0.02秒\n"
     ]
    }
   ],
   "execution_count": 56
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T07:04:18.528087Z",
     "start_time": "2025-05-29T07:04:18.511168Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 输出详细分类报告\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(f\"{'详细分类报告':^40}\")\n",
    "print(\"=\"*40)\n",
    "print(classification_report(test_labels, y_pred, target_names=['neg', 'pos']))"
   ],
   "id": "6bc521ebc716ffa7",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "                 详细分类报告                 \n",
      "========================================\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "         neg       0.63      0.72      0.67     12500\n",
      "         pos       0.67      0.58      0.62     12500\n",
      "\n",
      "    accuracy                           0.65     25000\n",
      "   macro avg       0.65      0.65      0.65     25000\n",
      "weighted avg       0.65      0.65      0.65     25000\n",
      "\n"
     ]
    }
   ],
   "execution_count": 57
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T07:04:21.085521Z",
     "start_time": "2025-05-29T07:04:21.003078Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 可视化混淆矩阵热度图\n",
    "plt.figure(figsize=(6, 4))\n",
    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=['neg', 'pos'], yticklabels=['neg', 'pos'])\n",
    "plt.title('Confusion Matrix - K-Nearest Neighbors')\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')\n",
    "plt.show()"
   ],
   "id": "f3bd98df37a31c2e",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 600x400 with 2 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 58
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T07:04:25.224523Z",
     "start_time": "2025-05-29T07:04:25.208491Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 将结果转换为DataFrame\n",
    "df_results = pd.DataFrame(results)"
   ],
   "id": "b63969fde57f6b3c",
   "outputs": [],
   "execution_count": 59
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-05-29T07:04:27.284567Z",
     "start_time": "2025-05-29T07:04:26.828810Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 分别绘制准确率、精确率、召回率、F1值和训练时间的柱状图\n",
    "metrics = ['Accuracy', 'Precision', 'Recall', 'F1-Score', 'Training Time']\n",
    "titles = ['Model Accuracy Comparison', 'Model Precision Comparison', \n",
    "          'Model Recall Comparison', 'Model F1-Score Comparison', 'Model Training Time Comparison']\n",
    "\n",
    "# 定义一个颜色列表，为每个模型指定不同的颜色\n",
    "colors = sns.color_palette('viridis', n_colors=len(df_results))\n",
    "\n",
    "for metric, title in zip(metrics, titles):\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    \n",
    "    # 使用 matplotlib 的 bar 方法绘制柱状图\n",
    "    bars = plt.bar(df_results['Model'], df_results[metric], color=colors)\n",
    "    \n",
    "    plt.title(title)\n",
    "    plt.xlabel('Model')\n",
    "    plt.ylabel(metric)\n",
    "    plt.xticks(rotation=45)\n",
    "    \n",
    "    # 在每个条形上添加数值标签\n",
    "    for bar in bars:\n",
    "        yval = bar.get_height()\n",
    "        plt.text(bar.get_x() + bar.get_width() / 2, yval, round(yval, 2),\n",
    "                 ha='center', va='bottom')\n",
    "\n",
    "    plt.show()"
   ],
   "id": "63efd8007477044d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 60
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
